基于改进蚁群算法的高压压气机叶片优化排序  

Optimal Sequencing of High-Pressure Compressor Blades Based on Improved Ant Colony Algorithm

作　　者：李书明[1] 吕颖 LI Shu-ming;LV Ying(College of Aeronautical Engineering,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学航空工程学院,天津300300

出　　处：《机械工程与自动化》2020年第5期60-62,共3页Mechanical Engineering & Automation

摘　　要：由于各个叶片存在不同的质量偏差,为了降低航空发动机高压压气机转子在叶片安装完成之后的剩余不平衡量,建立了叶片排序问题的优化模型。基于蚁群算法所具有的无需编码且计算速度快等优点,采用蚁群算法求解该问题。对V2500第4级实际叶片数据进行仿真优化排序,并与厂商排序方案进行对比,结果表明初始不平衡量比厂商方案减少了98.15%,可见该方法具有较高的实际推广价值。Due to the different quality deviations of each blade,in order to reduce the residual unbalance of the aero-engine high-pressure compressor rotor after the blades are installed,an optimized model for the blade sequencing problem is established.According to the advantages of ant colony algorithm such as no coding and fast calculation speed,the ant colony algorithm is used to solve this problem.Through simulation and optimization of the V2500 level 4 actual blade data,and comparison with the manufacturer’s ranking scheme,the results show that the initial imbalance is reduced by 98.15%compared with the manufacturer’s scheme,which shows that this method has high actual promotion value.

关 键 词：高压压气机 优化排序 蚁群算法 叶片 

分 类 号：V232.4[航空宇航科学与技术—航空宇航推进理论与工程] TB115[理学—数学]